Triple

T14347761
Position Surface form Disambiguated ID Type / Status
Subject Eurométropole de Strasbourg E355770 entity
Predicate contains P35 FINISHED
Object Niederhausbergen
Niederhausbergen is a small commune in northeastern France, situated near the city of Strasbourg in the Grand Est region.
E1104977 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Niederhausbergen | Statement: [Eurométropole de Strasbourg, contains, Niederhausbergen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niederhausbergen
Context triple: [Eurométropole de Strasbourg, contains, Niederhausbergen]
  • A. Niederlahnstein
    Niederlahnstein is a former town on the right bank of the Rhine in Rhineland-Palatinate, Germany, now part of the city of Lahnstein.
  • B. Meinisberg
    Meinisberg is a small municipality in the canton of Bern in Switzerland, situated near the city of Biel/Bienne.
  • C. Beutelsbach
    Beutelsbach is a small municipality in the rural Passau district of Lower Bavaria in southeastern Germany.
  • D. Hürnbach
    Hürnbach is a small stream in Switzerland that serves as a tributary of the river Wigger.
  • E. Neuhausen
    Neuhausen is a locality that forms one of the subdivisions of the Bavarian municipality of Metten in Germany.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Niederhausbergen
Triple: [Eurométropole de Strasbourg, contains, Niederhausbergen]
Generated description
Niederhausbergen is a small commune in northeastern France, situated near the city of Strasbourg in the Grand Est region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Niederhausbergen
Target entity description: Niederhausbergen is a small commune in northeastern France, situated near the city of Strasbourg in the Grand Est region.
  • A. Niederlahnstein
    Niederlahnstein is a former town on the right bank of the Rhine in Rhineland-Palatinate, Germany, now part of the city of Lahnstein.
  • B. Meinisberg
    Meinisberg is a small municipality in the canton of Bern in Switzerland, situated near the city of Biel/Bienne.
  • C. Beutelsbach
    Beutelsbach is a small municipality in the rural Passau district of Lower Bavaria in southeastern Germany.
  • D. Hürnbach
    Hürnbach is a small stream in Switzerland that serves as a tributary of the river Wigger.
  • E. Neuhausen
    Neuhausen is a locality that forms one of the subdivisions of the Bavarian municipality of Metten in Germany.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8d081c8190ac805726a3e98f4c completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a3479088190929ab4b9d218a608 completed May 8, 2026, 5:52 a.m.
NEDg Description generation batch_69fd7d80d358819095661dac316ff69f completed May 8, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69fd7e0a30188190942ff45e0f865490 completed May 8, 2026, 6:09 a.m.
Created at: April 10, 2026, 1:14 a.m.